Sr LangGraph Developer - Only W2

About the role

We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will design resilient, scalable LangGraph architectures that power intelligent applications across domains.

Locations: Dallas (primary), Charlotte (secondary). Hybrid mode: work from office 3 days a week.

Responsibilities

• Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
• Lead the development of agentic systems that interact, reason, and adapt dynamically.
• Optimize performance and scalability of LangGraph graphs in production environments.
• Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
• Mentor junior developers and establish best practices for LangGraph development.
• Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
• Design, create, and deploy AgenticAI models at production level.

Requirements

• 10+ years in software engineering, with at least 2+ years in LangGraph or agentic frameworks.
• Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
• Deep understanding of LLM orchestration, memory management, and stateful agent design.
• Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
• Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
• Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
• Proficient with AgenticAI models, vetted with evaluation metrics (RAG, Batch processing, AgenticAI).

Years of experience: 9+ years.